Enhancement of feature extraction for low-quality fingerprint images using stochastic resonance

Pattern Recognition Letters

Volumn 32, Issue 2, 2011, Pages 107-113

  Ryu, Choonwoo ^a   Kong, Seong G ^a   Kim, Hakil ^b  

^a Temple University   (United States)

^b Inha University   (South Korea)

Author keywords

Fingerprint feature extraction; Fingerprint recognition; Low quality fingerprint; Stochastic resonance

Indexed keywords

ACCEPTANCE RATE; BIOMETRIC IDENTIFICATIONS; DB2 DATABASE; EQUAL ERROR RATE; FALSE ACCEPTANCE RATE; FINGERPRINT FEATURES; FINGERPRINT IMAGES; FINGERPRINT RECOGNITION; FINGERPRINT VERIFICATION; GAUSSIAN NOISE; LOW QUALITIES; NEW APPROACHES; NON-LINEAR SIGNAL PROCESSING; ORIGINAL SIGNAL; RECEIVER OPERATING CHARACTERISTIC CURVES; STOCHASTIC RESONANCES;

BIOMETRICS; CIRCUIT RESONANCE; GAUSSIAN NOISE (ELECTRONIC); IMAGE PROCESSING; MAGNETIC RESONANCE; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; STOCHASTIC SYSTEMS;

FEATURE EXTRACTION;

EID: 78049510087     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2010.09.008     Document Type: Article

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